BiDet implement
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Updated
Oct 25, 2022 - Python
BiDet implement
ImageNet classification using binary Convolutional Neural Networks
A simple and very crude ann predicting xnor written from scratch using numpy
XNOR-Net with binary conv2d kernels with XNOR GEMM op, support both CPU and GPU.
Markov Chain Monte Carlo binary network optimization
Official repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
A hardware implementation of a feed-forward Convolutional Neural Network called XNOR-Net which has faster execution due to the replacement of vector-matrix multiplication to “XNOR + Popcount” operation
XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
An implementation of a variation of Sketch-A-Net using XNOR ConvNets using TensorFlow
BinaryNets in TensorFlow with XNOR GEMM op
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…
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